Boomi acquires Elementary Data
Boomi has acquired Elementary Data, a data observability company, as it expands its enterprise platform to help businesses monitor data quality and reduce risks associated with artificial intelligence.
The acquisition adds data monitoring, governance and discovery capabilities to the Boomi Enterprise Platform, allowing organizations to identify and address data problems before they affect business applications and automated workflows.
Financial terms of the acquisition were not disclosed.
Founded in 2022, Elementary Data began as an open-source project and has since been adopted by more than 1,500 data teams. Its software records more than 1.1 million monthly downloads, according to Boomi.
The company introduced Elementary Cloud in 2024, offering additional capabilities for enterprise users.
Boomi said the acquisition addresses growing concerns over unreliable information being used by AI systems, particularly agents capable of making decisions and executing tasks with limited human intervention.
“AI is only as trustworthy as the data behind it,” said Boomi chairman and CEO Steve Lucas.
“With Elementary, adopted by more than 1,500 data teams, with a ~4,000-member community, and downloaded over a million times a month, we’re adding the observability, quality, and governance layer that ensures the data activating our customers’ AI and agents is reliable, explainable, and enterprise-ready.”
The integration will introduce automated data pipeline monitoring, anomaly detection, data lineage tracking and governance tools.
Elementary’s technology can also help organizations identify outdated, incomplete or inaccurate information before it reaches analytics systems and AI applications.
A July 2026 Forrester Consulting study commissioned by Boomi found that 86 percent of surveyed business leaders said their organizations had moved beyond AI agent pilot projects, but only 34 percent trusted the actions performed by those systems.
The study also reported an average of $2.1 million in additional costs among organizations that deployed agents before they were ready.